Abstract
We reinterpret the morphologically unbiased’ tomographic’ method of multiple classifier combination developed previously by the authors as a methodology for graphical PDF correlation. That is, the original procedure for eliminating what are effectively the back-projection artifacts implicit in any linear feature-space combination regime is shown to be replicable by a piecewise morphology matching process. Implementing this alternative methodology computationally permits a several orders-of-magnitude reduction in the complexity of the problem, such that the method falls within practical feasibility even for very high dimensionality problems, as well as resulting in a more intuitive description of the process in graphical terms.
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© 2002 Springer-Verlag Berlin Heidelberg
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Windridge, D., Kittler, J. (2002). Morphologically Unbiased Classifier Combination through Graphical PDF Correlation. In: Caelli, T., Amin, A., Duin, R.P.W., de Ridder, D., Kamel, M. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2002. Lecture Notes in Computer Science, vol 2396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70659-3_83
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DOI: https://doi.org/10.1007/3-540-70659-3_83
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